<goals>
              <goal>attach-artifact</goal>
            </goals>
            <configuration>
              <artifacts>
                <artifact>
                  <file>target/publish/module.json</file>
                  <type>module</type>
                </artifact>
              </artifacts>
            </configuration>
          </execution>
        </executions>

     */
    @Test
    void testArtifactMapByVersionlessIdOrdering() throws Exception {
        List<Artifact> list = new ArrayList<>();
        list.add(newArtifact("b"));
        list.add(newArtifact("a"));
        list.add(newArtifact("c"));
        list.add(newArtifact("e"));
        list.add(newArtifact("d"));

     * Artifact type name for a JAR file containing test classes. If the main artifact is placed on the class path
     * ({@value #JAR} or {@value #CLASSPATH_JAR} types), then the test artifact will also be placed on the class path.
     * Otherwise, if the main artifact is placed on the module path ({@value #JAR} or {@value #MODULAR_JAR} types),
     * then the test artifact will be added using {@code --patch-module} option.
     */

            toArtifacts(artifacts, node.getChildren(), nodeTrail, filter);
        }
    }

    public static Artifact toArtifact(org.apache.maven.artifact.Artifact artifact) {
        if (artifact == null) {
            return null;
        }

        String version = artifact.getVersion();
        if (version == null && artifact.getVersionRange() != null) {
            version = artifact.getVersionRange().toString();

TFCI_DOCKER_ENABLE=1
if [[ "$TFCI_GITHUB_ACTIONS" == "true" ]]; then
  TFCI_DOCKER_ENABLE=0
fi
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-windows@sha256:023fa901fda70be8890b05689d0a667287692c1f59d0abe4add7208ec5a12707"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"

#   SourceCacheKey                   - File and RAW model requests (session/hard for consistent file access)
#   DefaultArtifactResolverRequest   - Artifact resolution results (session/hard to avoid re-resolving)
#   DefaultVersionResolverRequest    - Version resolution results (session/soft, less critical than artifacts)
#   RgavCacheKey                     - BOM import caching (session/soft, typically resolved once)

     * could serve as a classpath for a particular scope
     *
     * @param dirtyGraph - dependency graph
     * @param scope - which classpath to extract
     * @param resolve - whether to resolve artifacts.
     * @return Collection of metadata objects in the linked subgraph of the graph which
     *             contains the graph.getEntry() vertice
     */

            }
        }

        dependencies {
            dependency(
                AbsoluteId("Gradle_${vcsBranch.branchName.uppercase()}_${NIGHTLY_SNAPSHOT_BUILD_ID}"),
            ) {
                artifacts {
                    buildRule = lastSuccessful()
                    artifactRules = "version-info.properties => ./"
                }
            }
        }
    }

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"